Toward an IoT Analytics capability framework for business value creation

  • J Dijkstra

Student thesis: Master's Thesis


Data Analytics capabilities and value creation have been an increasingly researched topic in the past years. Capabilities and value creation in specific domains such as IoT. However, have not been explored yet. Additionally, existing research explicitly calls for more empirical research on IoT and Analytics business value, including such IoT Analytics (IoTA) capabilities. With the aim of bridging that gap, this study develops a first conceptual framework of IoTA capabilities and business value typologies. First, a conceptual framework was developed through a systematic literature review of general Data Analytics capabilities and business value. Second, a multiple case study with nine case organizations and 16 participants was conducted, involving semi-structured interviews and a subsequent thematic data analysis. The analysis indicates that although DA capabilities are relevant for IoTA, new capabilities are needed to cope with unprecedented situations. When these unprecedented situations are overcome through the right IoTA capabilities at the right time, they may lead to both operational and strategic business value. Adding to existing scientific research, this research makes a first contribution toward a holistic IoTA capability framework for business value creation.
Date of Award6 Jul 2022
Original languageEnglish
SupervisorSamaneh Bagheri (Examiner) & Irene Vanderfeesten (Co-assessor)


  • Internet of Things
  • IoT
  • Analytics
  • Data Analytics
  • Capabilities
  • Business Value
  • Value Creation

Master's Degree

  • Master Business Process management & IT (BPMIT)

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